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JUN 20, 2018:It's been close to a week since FIFA World Cup 2018 started. We have already seen almost as many upsets as there were fancy advanced models pre-tournament trying to predict the outcomes. There has been a flurry of articles and scholarly papers using Artificial Intelligence and Machine Learning to predict the tournament results this year. Included in that list are the usual suspects such as FiveThirtyEight and bookmakers, as well as unlikely participants such as Goldman Sachs and Cornell University (maybe not that unlikely). Inspired by these articles, some heated arguments, a few cups of coffee, and with my trusted Microsoft Excel, I set about creating my own not-so-intelligent predictor. It's a fairly simple model that runs Monte Carlo simulations, and uses some hard coded inputs on pre-tournament form, such as: FIFA Ranking PointsFootball ELO RatingsGoals Scored, Goal Conceded and Undefeated streaks since World Cup 2014Number of Ballon d'Or winners in the team …

I expect the DC++ hoggers already know about "Three KGPians day out", well here is a new version of it.

Four days before the end sem exams, and on the eve of the day which has three tests in store for them, three KGPians, decided to go out for a late night snack. Actually there wasnt much decision involved except for the place where they would be willing to hog down stuff. The local canteen won on the grounds that being the nearest, they would be WASTING much lesser time if they went there.

The guftagu began, after the initial rite of ordering your stuff. Two Bread Butters, one beg sandwich, and a cup of tea. No maggie, no chowmein -- seriosly these people were low on budget. Before we get any further into their actual conversation, lets name the three dramatis personae. On account of confidentiality, they have requested that they be known by aliases. So lets call them MyTh, Quark and manGO.

As the three waited for the food to arrive, manGO being in a counter reflective mood de…